code: def _parallel_augments(cls, action_fx, data):
      pool = ThreadPool(len(data))
      results = pool.map(action_fx, data)
      pool.close()
      pool.join()
      return results
  
imports: import math
  import random
  import numpy
  import pandas
  from multiprocessing.dummy import Pool
  from nlpaug.util import Action, Method, WarningException, WarningName, WarningCode, WarningMessage
label_desc: Use image node_id 6 for calling the Augmenter obj's underlying member method code with example usage: obj._parallel_augments(cls, action_fx, data) and returns: results